Description

Responsibility

  • Define data architecture standards, principles, and guidelines.
  • Responsible for defining and designing solution for Multi-Tenant Cloud Native Data Platform and data product.
  • You will be hands on and work closely to guide a team of Data Engineers in the associated data maintenance, integrations, enhancements, ETL processes
  • Work closely with other stakeholders like Product Managers, Engineering Managers, Solution Architects, etc.
  • Own and drive the evaluation of data management technologies and lead the implementation with a high bar of performance, scalability, and availability standards.
  • Create and implement data models, design databases, and ensure data security and availability.
  • Design and optimize the systems for speed, efficiency, and reliability
  • Ensure data security and privacy compliance with relevant regulations and standards
  • Implement security measures to protect sensitive data from breaches and unauthorized access
  • Provide technical guidance and mentorship to junior data engineers and developers

 

Required Skills / Experience

  • 8+ Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem
  • Data modelling experience – relational and dimensional with consumption requirements (reporting, dashboarding, and analytics)
  • Able to apply technical knowledge to architect and design solutions that meet business needs, create Data Engineering & Analytics roadmaps, drive POCs and MVPs, and ensure the long-term technical viability of Data Products
  • Experience using and developing with ETL tools like Azure Data Factory, SSIS, Databricks/Spark etc.
  • Handson experience in using Snowflake
  • Well versed with BI tools like PowerBI.
  • Effective communication and collaboration skills to work with both technical and non-technical stakeholders.
  • Flexible to work with global offices across several time zones.
  • Outstanding problem-solving skills and the ability to navigate complex data challenges

Nice to have Skills / Experience

  • Familiar in Java/.net, Scala, or Python technologies and deliver analytics
  • Experience integrating AI with Data Products
  • Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric
  • Experience in anonymizing data, data product development, analytical models, and AI governance

Key Skills
Education

Any Gradute

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